基于CART决策树的网络问答社区新兴话题识别研究*
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程秀峰, 张心怡, 王宁
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Identifying Trending Topics in Q&A Community with CART Decision Tree
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Cheng Xiufeng,Zhang Xinyi,Wang Ning
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表4 预处理的T3问题数据 |
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Title | Focus | Cohesion | Impact | Is | Order | Tree2.Topic1 | 109 452 | 15.91 | 109 622 | 1 | 1 | Tree2.Topic2 | 403128 | 8.66 | 97 756 | 1 | 8 | Tree2.Topic3 | 14 593 | 5.26 | 2 347 | 1 | 15 | Tree2.Topic4 | 2 357 | 3.28 | 36 327 | 1 | 22 | Tree2.Topic5 | 217 | 4.29 | 2 751 | 1 | 29 | Tree2.Topic6 | 233 | 3.92 | 1 178 | 1 | 36 | Tree2.Topic7 | 165 | 4.00 | 700 | 1 | 43 | Tree2.Topic8 | 82 | 4.36 | 1 182 | 1 | 50 | Tree2.Topic9 | 3 496 | 1.98 | 8 874 | 1 | 57 | Tree2.Topic10 | 151 | 2.77 | 1 156 | 1 | 64 | Tree2.Topic11 | 170 | 3.03 | 390 | 1 | 71 | Tree2.Topic12 | 426 | 1.82 | 12 650 | 1 | 78 | Tree2.Topic13 | 294 | 3.46 | 59 | 1 | 85 | Tree2.Topic14 | 135 | 2.98 | 246 | 1 | 92 | Tree2.Topic15 | 141 | 2.54 | 322 | 1 | 99 |
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